Free Data Generators for Developers
Generate realistic fake test data, multi-table relational datasets with SQL INSERT scripts, and US address lists — entirely in your browser. No account, no upload, no cost. Everything from a single seed record to a 5,000-row relational schema ready to import into your database.
Relational Data Generator
Build 2–5 related tables with real foreign key relationships. Every child record references a real parent ID. Export as SQL INSERT scripts (MySQL, PostgreSQL, SQLite, SQL Server), multi-file CSV/JSON ZIP, or nested JSON.
Custom Fake Data Generator
Build any flat dataset with exactly the columns your project needs. Choose from 50 field types — names, addresses, emails, UUIDs, credit cards, job titles, timestamps, and more. Rename columns to match your schema.
Fake Address Generator
Generate realistic US addresses with real street names, real cities, and correctly paired state/zip codes. Filter by any combination of states. Randomly assigned names — no record matches a real person.
CSV → Relational Excel
Drop multiple CSV files and get a single multi-tab .xlsx workbook with automatic column type detection, PK/FK relationship inference, and a full data dictionary tab.
| Need | Best Tool |
|---|---|
| Seed a database with multiple related tables | Relational Data Generator |
| Generate SQL INSERT scripts ready to run | Relational Data Generator |
| Custom columns matching my exact schema | Custom Fake Data Generator |
| Single flat table, any combination of fields | Custom Fake Data Generator |
| Address-heavy data, filter by state | Fake Address Generator |
| Testing a delivery, logistics, or mapping app | Fake Address Generator |
| Demo environment that looks completely real | Relational Data Generator + templates |
| Test fixture files for unit tests | Custom Fake Data Generator (JSON, 25–100 rows) |
| Combine existing CSV files into a documented Excel workbook | CSV → Relational Excel |
| Infer PK/FK relationships from real data | CSV → Relational Excel |
Complete guide covering templates, SQL export dialects, FK strategies, and real-world database seeding workflows.
Covers database seeding, API testing, staging environments, and all 50 field types explained.
